Computer Vision and AI
Manufacturing vision systems enable closed loop manufacturing systems, quality control, and diagnostics of machines, parts, and materials. We are integrating these tools with artificial intelligence – in some cases creating automation that replaces the work of humans, and in other cases performing tasks that humans cannot do at all.
Intelligence at Every Level.
Our research uses advanced computer vision, artificial intelligence and machine learning to develop systems that enhance quality monitoring, enable real-time defect detection and expand the capabilities of modern manufacturing.
Our research employs multimodal sensing -- including thermal imaging, ultrasonic and wave-based methods, and sensor fusion -- to identify process deviations early and ensure consistent outcomes. We complement these approaches with digital twins and predictive models that combine physics-based understanding with data-driven insights, creating adaptive, end-to-end systems that go beyond reactive control.
This work also accelerates material evaluation and assurance through AI-enabled characterization, precise defect threshold definition, faster fatigue testing and streamlined inspection. Supporting these advances is a robust data infrastructure, where IIoT-based data capture, centralized knowledge frameworks, and advanced data mining provide the foundation for deeper insight into manufacturing processes.
By bringing together vision and intelligence, IMI is advancing manufacturing systems that are not only more reliable and predictable but also contribute to new scientific understanding of how to design, monitor and optimize complex production environments.